Choose an AI vendor by asking them to handle your business scenario and show the resulting record. A convincing conversation or polished demo is not enough. The provider should explain what is configured, what still needs building and how your team will operate the result when something goes wrong.
Bring one problem to the comparison. For a home-service owner, that might be enquiries arriving while the crew is working or assessment requests sitting without an assigned callback. A provider should be able to discuss that bottleneck without turning it into an unrelated full-business rebuild.
Score six areas using evidence
Use a simple scale: unknown, explained, demonstrated or tested in the agreed environment. Record why you gave the score. This avoids treating an enthusiastic answer as the same thing as a working connection.
Scope fit: Can the provider state the customer task and the next business decision? Does the proposal match your service area, crew workflow and actual availability? Are exclusions and human approval points clear?
Integration: Can you see the request in the system your team uses? Ask which record is authoritative and what happens if that write fails. A demonstration that only updates the vendor's own dashboard does not prove your handoff.
Exceptions: Test missing information, repeat requests, unavailable appointments and a customer who needs a person. Check whether the customer's status remains truthful and whether a named owner receives a usable next action.
Data handling: Ask which information is collected, which providers receive it, how access is managed and what is retained. Request the actual processor and storage details relevant to the proposed flow. Canada's privacy authorities' AI principles offer questions to discuss with the people responsible for your obligations; they do not certify a vendor.
Operating support: Identify who changes hours, services and scripts, who investigates failed handoffs and what response expectations apply. Ask which changes are included and which require a new scope.
Business evidence: Decide which observable outcomes the pilot must establish. Accepted requests, confirmed appointments, completed work and owner review time are distinct measures. Do not let a provider combine them into one impressive lead count.
Use the same scenario with every provider
Create a fictional customer and controlled contact information. Ask for an assessment outside ordinary availability, then introduce one missing detail. Have the provider show the receiving queue, correction and final status.
Next, repeat the request and make the destination temporarily unavailable in the agreed test setup. Inspect the recovery process. Do not trigger real customer communications as a casual vendor test; agree the environment and authority first.
Ask the operator who will use the system to attend. They can identify whether the record is understandable and whether the proposed control actually fits the day.
Compare with the simpler alternative
Jobber and other field-service products already advertise intake and scheduling features. Check your current configuration before paying for a parallel workflow. A good vendor can explain where an existing feature fits and which gap justifies additional work.
Include implementation, usage, monitoring, review effort and exit costs. Request current written terms. If the proposal depends on rankings, citations or conversion improvements, ask what evidence supports the expectation. Google's AI-search guidance does not promise inclusion merely because a site follows best practices.
Make the pilot decision explicit
Write the acceptance conditions before signing off: one controlled request reaches the correct record, a person can handle an exception, the process can be paused, and the team can inspect the outcome. Decide what would cause you to stop rather than expand.
Use the five red flags to challenge weak answers and the discovery deliverables to assess proposed scoping work. Talk with GlassRiver about the task and the test, not just the technology label.